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MIT Forum for Supply Chain Innovation

Research and Teaching Output of the MIT Community

MIT Forum for Supply Chain Innovation


The MIT Forum for Supply Chain Innovation (the Forum) is at the center of one of the most pivotal areas of business. Formed in 2002, the Forum provides a unique collaborative environment. It is the center of an expert community, harnessing the world-leading capabilities of MIT. The Forum brings together academics, researchers, and practitioners to develop ideas, practical principles and critical thinking. Through its research, the Forum affects supply chain management and shapes its effect on business strategy. It is dedicated to delivering innovative solutions to supply chain issues and is able to provide each member with unique research, driving new ideas for excellence in supply chain design and implementation, together with technology-based solutions that make a difference. The Forum is, of course, a partner to every member by helping them understand, manage and implement innovation into their own decision systems.

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Recent Submissions

  • Datta, Shoumen (2016-09-29)
    IoT as a digital-by-design metaphor. The principles and practice of connectivity (includes digital twins).
  • Datta, Shoumen (2014)
    How will the tapestry of humanity and the ethos of civilization evolve when billions of devices and trillions of sensors with quadrillion end points can connect events in our daily lives to the world around us and monitor ...
  • Datta, Shoumen (2011-04-20)
    Amorphous and near-fictional aggregation of relational applications with social media, networking and ebusiness services. Hypothetical seamless lifestyle scenarios highlight convergence of applications inevitable in the ...
  • Datta, Shoumen (2011-04-15)
    ABSTRACT The concept of eAGE is easy to grasp if one appreciates the analogy of the distributed ability of computing at the hands of any individual who owns an iPad or notebook computer versus the ENIAC which weighed ...
  • Datta, Shoumen (IJEBM, 2011-01)
    We propose an intelligent Energy Transparency model and a bio-inspired hypothetical mechanical mitochondria to optimize energy efficiency. iET seeks learning algorithms to build intelligence in order to pursue carbon-based ...